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OBJECTIVES: This scoping review maps the literature on psychosocial distress and coping among nursing assistants (CNAs) in long-term care facilities (LTC) during the COVID-19 pandemic onto the Social Ecological Model (SEM) of Occupational Stress. METHODS: Searches yielded 862 unique studies. Inclusion criteria were sample CNAs or equivalent in LTC; includes psychosocial variable; and collect data from February 2020-. A multi-phasic, meta-synthesis was used to synthesize qualitative data. RESULTS: We identified 20 studies (13 quantitative, 7 qualitative) conducted between March 2020 and December 2021 from 14 countries. Prevalence rates were reported for perceived stress (31-33%; n = 1 study), post-traumatic stress (42%; n = 1), anxiety (53%; n = 1), depression (15-59%; n = 2), suicidal thoughts (11-15%; n = 1), and everyday emotional burnout (28%; n = 1). Qualitative studies identified factors contributing to psychosocial distress and coping at each SEM level (i.e. individual, microsystem, organization, and peri-/extra-organizational). Quantitative studies primarily measured factors relating to psychosocial distress and coping at the individual and organizational levels. CONCLUSIONS & CLINICAL IMPLICATIONS: This review identifies specific targets for intervention for psychosocial distress among CNAs in LTC at multiple levels, including job clarity; workload; facility culture; community relations; and policy. These intervention targets remain relevant to the LTC industry beyond the context of the COVID-19 pandemic.
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OBJECTIVES: The National Academies of Sciences, Engineering, and Medicine (NASEM) Nursing Home Quality report recommends that states "develop and operate state-based technical assistance programs to help nursing homes improve care and operations." The Quality Improvement Program for Missouri (QIPMO) is one such program. This longitudinal evaluation examined and compared differences in quality measures (QMs) and nursing home (NH) characteristics based on intensity of QIPMO services used. DESIGN: A descriptive study compared key QMs of clinical care, facility-level characteristics, and differing QIPMO service intensity use. QIPMO services include on-site clinical consultation by expert nurses; evidence-based practice information; teaching NHs use of quality improvement (QI) methods; and guiding their use of Centers for Medicare and Medicaid Services (CMS)-prepared QM comparative feedback reports to improve care. SETTING AND PARTICIPANTS: All Missouri NHs (n = 510) have access to QIPMO services at no charge. All used some level of service during the study, 2020-2022. METHODS: QM data were drawn from CMS's publicly available website (Refresh April 2023) and NH characteristics data from other public websites. Service intensity was calculated using data from facility contacts (on-site visits, phone calls, texts, emails, webinars). NHs were divided into quartiles based on service intensity. RESULTS: All groups had different beginning QM scores and improved ending scores. Group 2, moderate resource intensity use, started with "worse" overall score and improved to best performing by the end. Group 4, most resource intensity use, improved least but required highest service intensity. CONCLUSIONS AND IMPLICATIONS: This longitudinal evaluation of QIPMO, a statewide QI technical assistance and support program, provides evidence of programmatic stimulation of statewide NH quality improvements. It provides insight into intensity of services needed to help facilities improve. Other states should consider QIPMO success and develop their own programs, as recommended by the NASEM report so their NHs can embrace QI and "initiate fundamental change" for better care for our nation's older adults.
